- Student dropout is a phenomenon that has roots much earlier in the education pipeline than high school.
- Current early identification strategies are of unknown accuracy, difficult to implement, and rely on late breaking data.
- The predictors of dropout vary across jurisdictions, making one size fits all models inefficient, biased, or both.
- Teachers, counselors, principals, and other school staff are spending valuable time assessing student dropout likelihood using manual identification.
State level early warning systems (EWS) can help with this